MENDETEKSI ORISINALITAS FILE VIDEO MENERAPKAN METODE MD5

2019 ◽  
Vol 3 (1) ◽  
Author(s):  
Ermi Suryani Nasution
Keyword(s):  
Video Quality ◽  
Video Recording ◽  
Multimedia Content ◽  
Original Video ◽  
Video Content ◽  
Video File ◽  
Message Digest ◽  
Video Manipulation

Video is one of the multimedia content. In the video the video is stored in a file that can be changed intentionally or unintentionally. To ensure video content does not change, a mechanism is needed to detect the integrity of the video content both from the video quality and the size of the video file. In this research, video manipulation with change in duration, addition of frame and change in video file extension aims to compare the original video recording and manipulation video recording. Based on Hasher Pro testing results show that the system is running well, successfully detecting changes that occur in video files scanning video files with a percentage of 100%, all changes can be detected by the Message Digest (MD5) algorithm on the hash value.Keywords: Video, Metode Massage Digest 5 (MD5), Hasher Pro.

PRIVACY INFORMATION PROTECTION IN AN ENCRYPTED COMPRESSED H.264 VIDEO BITSTREAM

2015 ◽  
Vol 3 (4) ◽  
pp. 343-345
Author(s):  
Pradeep Rajagopalan ◽  
Sanjay Kumar Gengaiyan
Keyword(s):  
Video Quality ◽  
Motion Vector ◽  
Video Stream ◽  
Security And Privacy ◽  
Original Video ◽  
Video Content ◽  
Compressed Video ◽  
High Data ◽  
Computation Efficiency ◽  
Wrapping Technique

The paper presents that encryption of compressed video bit streams and hiding privacy information to protect videos during transmission or cloud storage. Digital video sometimes needs to be stored and processed in an encrypted format to maintain security and privacy. Here, data hiding directly in the encrypted version of H.264/AVC video stream is approached, which includes the following three parts. By analyzing he property of H.264/AVC codec, the code words of intra prediction modes, the code words of motion vector differences, and the code words of residual coefficients are encrypted with stream ciphers. Then, a data hider may embed additional data in the encrypted domain by using wrapping technique, without knowing the original video content. The paper results shows that used methods provides better performance in terms of computation efficiency, high data security and video quality after decryption. The parameters such as RMSE, PSNR, CC are evaluated to measure its efficiency

Analyzing the Quality of Aesthetic Surgery Procedure Videos on TikTok

2021 ◽  
Author(s):  
Anjali Om ◽  
Bobby Ijeoma ◽  
Sara Kebede ◽  
Albert Losken
Keyword(s):  
Social Media ◽  
Breast Augmentation ◽  
Cosmetic Surgery ◽  
Video Quality ◽  
Aesthetic Surgery ◽  
Video Content ◽  
Medical Providers ◽  
Cosmetic Procedure ◽  
Different Content

Abstract Background TikTok is one of the most popular and fastest growing social media apps in the world. Previous studies have analyzed the quality of patient education information on older video platforms, but the quality of plastic and cosmetic surgery videos on TikTok has not yet been determined. Objectives To analyze the source and quality of certain cosmetic procedure videos on TikTok. Methods The TikTok mobile application was queried for content related to two popular face procedures (rhinoplasty and blepharoplasty) and two body procedures (breast augmentation and abdominoplasty). Two independent reviewers analyzed video content according to the DISCERN scale, a validated, objective criteria that assesses the quality of information on a scale of 1-5. Quality scores were compared between videos produced by medical and nonmedical creators and between different content categories. Results There were 4.8 billion views and 76.2 million likes across included videos. Videos were created by MDs (56%) and laypersons (44%). Overall average DISCERN score out of 5 corresponded to very poor video quality for rhinoplasty (1.55), blepharoplasty (1.44), breast augmentation (1.25) and abdominoplasty (1.29). DISCERN scores were significantly higher among videos produced by MDs than by laypersons for all surgeries. Comedy videos consistently had the lowest average DISCERN scores, while educational videos had the highest. Conclusions It is increasingly important that medical professionals understand the possibility of patient misinformation in the age of social media. We encourage medical providers to be involved in creating quality information on TikTok and educate patients about misinformation to best support health literacy.

Videagogy

2013 ◽  
pp. 138-147 ◽  
Author(s):  
Peter M. Jonas ◽  
Darnell J. Bradley
Keyword(s):  
Distance Learning ◽  
Video Recording ◽  
Traditional Learning ◽  
The Internet ◽  
Video Content ◽  
Self Directed Learning ◽  
Teaching Technique ◽  
Directed Learning ◽  
Traditional Pedagogy ◽  
Home Computing

Capitalist economics posits that increased competition between entrepreneurs in an economy leads to better, more consumer friendly products. As colleges compete for students, the same could be said for how modern learners have driven traditional pedagogy to new heights. In the last 30 years, education has witnessed the transformation of distance learning via the internet and home computing, the growth and inclusion of non-traditional learning methods, and most recently, the growth of a ubiquitous video culture via the usage of digital video recording, phone cameras, and web vehicles such as YouTube. This chapter attempts to connect research with the practical components of using technology in the form of humorous, short videos as a new teaching technique called videagogy: from the words video and pedagogy, pronounced vid-e-ah-go-jee. Using humorous videos and allowing students to select video content brings self-directed learning to students in a non-threatening way that actually makes them laugh out loud.

Semantic Multimedia Information Anaylsis for Retrieval Applications

2008 ◽  
pp. 880-897
Author(s):  
J. Magalhaes ◽  
Stefan Rüger
Keyword(s):  
Information Retrieval ◽  
Multimedia Information ◽  
Digital Libraries ◽  
Research Area ◽  
Multimedia Retrieval ◽  
Multimedia Content ◽  
Video Content ◽  
Comprehensive Review ◽  
Statistical Approaches ◽  
New Research

Most of the research in multimedia retrieval applications has focused on retrieval by content or retrieval by example. Since the classical review by Smeulders (2000) a new interest has grown immensely in the multimedia information retrieval community: retrieval by semantics. This exciting new research area arises as a combination of multimedia understanding, information extraction, information retrieval and digital libraries. This chapter presents a comprehensive review of analysis algorithms to extract semantic information from multimedia content. We discuss statistical approaches to analyse images and video content and conclude with a discussion regarding the described methods.

scholarly journals Video Error-Resilience Research Based on Error-Resilient Screen Content

2020 ◽  
Vol 10 (14) ◽  
pp. 4923
Author(s):  
Zhe Liu ◽  
He Chen ◽  
Songlin Sun
Keyword(s):  
Video Transmission ◽  
Video Quality ◽  
Region Of Interest ◽  
Error Resilience ◽  
Transmission Error ◽  
Video Frame ◽  
Video Content ◽  
Selection Mechanism ◽  
Error Resilient ◽  
Screen Content

In order to make video transmission more stable, various error-resilient mechanisms are proposed on video coding in the literature. However, the redundancy mechanism behind classical redundant coding algorithms is relatively simple and is not suitable for the network environment and video content in the context of screen content sequence with multiple abrupt frames and still frames. Motivated by this, a frame-level coding selection mechanism is proposed in this paper for the error-resilience transmission of screen content, where additional code stream or redundant information is considered to improve error-resilient performance with redundant coding and acceptable video quality is obtained in the case of frame transmission error. In addition, selective allocation redundancy is conducted to take the importance of the video frame ROI (region of interest) area into account in the co-encoding process. As a result, the redundancy insertion efficiency and the reliability are improved in return. The corresponding experiments validate the effectiveness of the schemes proposed in this paper.

Video Technologies for Recording Open Surgery: A Systematic Review

2019 ◽  
Vol 26 (5) ◽  
pp. 599-612 ◽  
Author(s):  
Tomas J. Saun ◽  
Kevin J. Zuo ◽  
Teodor P. Grantcharov
Keyword(s):  
Systematic Review ◽  
Open Surgery ◽  
Performance Enhancement ◽  
Video Quality ◽  
Video Recording ◽  
Unmet Need ◽  
Battery Life ◽  
Surgical Subspecialty ◽  
Meta Analyses ◽  
Education Performance

Video recording of surgical procedures is an important tool for surgical education, performance enhancement, and error analysis. Technology for video recording open surgery, however, is limited. The objective of this article is to provide an overview of the available literature regarding the various technologies used for intraoperative video recording of open surgery. A systematic review was conducted in accordance with the Preferred Reporting Items for Systematic Review and Meta-Analyses (PRISMA) guidelines using the MEDLINE, Cochrane Central, and EMBASE databases. Two authors independently screened the titles and abstracts of the retrieved articles, and those that satisfied the defined inclusion criteria were selected for a full-text review. A total of 2275 publications were initially identified, and 110 were included in the final review. The included articles were categorized based on type of article, surgical subspecialty, type and positioning of camera, and limitations identified with their use. The most common article type was primary-technical (29%), and the dominant specialties were general surgery (22%) and plastic surgery (18%). The most commonly cited camera used was the GoPro (30%) positioned in a head-mount configuration (60%). Commonly cited limitations included poor video quality, inadequate battery life, light overexposure, obstruction by surgical team members, and excessive motion. Open surgery remains the mainstay of many surgical specialties today, and technological innovation is absolutely critical to fulfill the unmet need for better video capture of open surgery. The findings of this article will be valuable for guiding future development of novel technology for this purpose.

scholarly journals P2P video streaming combining SVC and MDC

2011 ◽  
Vol 21 (2) ◽  
pp. 295-306 ◽  
Author(s):  
Francisco de Asís López-Fuentes
Keyword(s):  
Video Coding ◽  
Video Streaming ◽  
Packet Loss ◽  
Scalable Video Coding ◽  
Video Quality ◽  
Scalable Video ◽  
Video Content ◽  
Multiple Description ◽  
Video Distribution ◽  
P2p Video Streaming

P2P video streaming combining SVC and MDC In this paper we propose and evaluate a combined SVC-MDC (Scalable Video Coding & Multiple Description Video Coding) video coding scheme for Peer-to-Peer (P2P) video multicast. The proposed scheme is based on a full cooperation established between the peer sites, which contribute their upload capacity during video distribution. The source site splits the video content into many small blocks and assigns each block to a single peer for redistribution. Our solution is implemented in a fully meshed P2P network in which peers are connected to each other via UDP (User Datagram Protocol) links. The video content is encoded by using the Scalable Video Coding (SVC) method. We present a flow control mechanism that allows us to optimize dynamically the overall throughput and to automatically adjust video quality for each peer. Thus, peers with different upload capacity receive different video quality. We also combine the SVC method with Multiple Description Coding (MDC) to alleviate the packet loss problem. We implemented and tested this approach in the PlanetLab infrastructure. The obtained results show that our solution achieves good performance and remarkable video quality in the presence of packet loss.

Research on the Real-Time Video Transmission Mechanism Based on TFRC

2012 ◽  
Vol 195-196 ◽  
pp. 1106-1110
Author(s):  
Fu Xiao ◽  
Ting Hu ◽  
Jian Ping Yu ◽  
Ru Chuan Wang
Keyword(s):  
Quality Assessment ◽  
Real Time ◽  
Video Transmission ◽  
Simulation Experiment ◽  
Evaluation Model ◽  
Video Quality ◽  
Transmission System ◽  
Transmission Mechanism ◽  
Picture Quality ◽  
Video File

TFRC protocol is very suitable for video transmission, while quality assessment is also essential in video transmission system. In this paper a real-time video transmission system based on TFRC protocol is proposed, and an evaluation model about the system is improved in the framework of Evalid. It assesses the quality and efficiency of the video transmission according to the actual video file, and analyzes losses frame in different video types during transmission as well as the picture quality in receiver. The results of simulation experiment in NS-2 show that when real-time video transmitted in complex network environment using this system, the receiver can get satisfactory video quality by reason of the TFRC protocol friendliness and the smoothness of sending rate.

scholarly journals An experimental survey of no-reference video quality assessment methods

2016 ◽  
Vol 12 (1) ◽  
pp. 66-86 ◽  
Author(s):  
Maria Torres Vega ◽  
Vittorio Sguazzo ◽  
Decebal Constantin Mocanu ◽  
Antonio Liotta
Keyword(s):  
Video Compression ◽  
Video Quality ◽  
Video Data ◽  
Original Video ◽  
Data Set ◽  
Content Type ◽  
Quality Metric ◽  
Simulated Network ◽  
Video Quality Metric

Purpose The Video Quality Metric (VQM) is one of the most used objective methods to assess video quality, because of its high correlation with the human visual system (HVS). VQM is, however, not viable in real-time deployments such as mobile streaming, not only due to its high computational demands but also because, as a Full Reference (FR) metric, it requires both the original video and its impaired counterpart. In contrast, No Reference (NR) objective algorithms operate directly on the impaired video and are considerably faster but loose out in accuracy. The purpose of this paper is to study how differently NR metrics perform in the presence of network impairments. Design/methodology/approach The authors assess eight NR metrics, alongside a lightweight FR metric, using VQM as benchmark in a self-developed network-impaired video data set. This paper covers a range of methods, a diverse set of video types and encoding conditions and a variety of network impairment test-cases. Findings The authors show the extent by which packet loss affects different video types, correlating the accuracy of NR metrics to the FR benchmark. This paper helps identifying the conditions under which simple metrics may be used effectively and indicates an avenue to control the quality of streaming systems. Originality/value Most studies in literature have focused on assessing streams that are either unaffected by the network (e.g. looking at the effects of video compression algorithms) or are affected by synthetic network impairments (i.e. via simulated network conditions). The authors show that when streams are affected by real network conditions, assessing Quality of Experience becomes even harder, as the existing metrics perform poorly.

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